Author:
Suzuki Hironori,Marumo Yoshitaka, ,
Abstract
The use of green light optimal speed advisory (GLOSA) systems is seen as a key application for achieving more environmentally friendly, time-efficient, and safer traffic flows at signalized intersections. In previous papers, the authors have proposed a GLOSA system that informs drivers of the most appropriate position for their vehicle instead of their optimal speed. This paper reports on a performance evaluation of our proposed GLOSA system after application to morning rush-hour traffic flow in a simulation of a real-world signalized intersection. A performance evaluation of this numerical simulation showed that our GLOSA system increased the time headway of vehicles and decreased their deceleration rates in the vicinity of the signalized intersection. In addition, the use of the system moderately increased fuel efficiency without affecting vehicle travel time. From these results, it can be concluded that our proposed GLOSA system has the potential to create safer traffic flows in real-world signalized intersections without degrading traffic efficiency.
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference27 articles.
1. S. Kato, N. Hashimoto, T. Ogitsu, and S. Tsugawa, “Driver Assistance Systems with Communication to Traffic Lights – Configuration of Assistance Systems by Receiving and Transmission and Field Experiments –,” J. Robot. Mechatron., Vol.22, No.6, pp. 737-744, doi: 10.20965/jrm.2010.p0737, 2010.
2. D. Eckhoff, B. Halmos, and R. German, “Potentials and limitations of green light optimal speed advisory systems,” Proc. of 2013 IEEE Vehicular Networking Conf., pp. 103-110, 2013.
3. K. Katsaros, R. Kernchen, M. Dianati, and D. Rieck, “Performance study of a green light optimized speed advisory (GLOSA) application using an integrated cooperative ITS simulation platform,” Proc. of 2011 7th Int. Wireless Communications and Mobile Computing Conf., pp. 918-923, 2011.
4. V. Nguyen, O. T. T. Kim, T. N. Dang, S. I. Moon, and C. S. Hong, “An efficient and reliable green light optimal speed advisory system for autonomous cars,” Proc. of 2016 18th Asia-Pacific Network Operations and Management Symp. (APNOMS), pp. 1-4, 2016.
5. M. Seredynski, B. Dorronsoro, and D. Khadraoui, “Comparison of green light optimal speed advisory approaches,” Proc. of the 16th Int. IEEE Annual Conf. on Intelligent Transportation Systems (ITSC 2013), pp. 2187-2192, 2013.
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